Office of Academic Affairs(Stamp)
Page 1 of 2
Date Issued 22-April-2023
Student ID: 3019210040 Gender: Male Date of Admission: September, 2019
Name: Jiang Dingyi Length of Schooling: 4 Date of Graduation:
School: Division of Intelligence and Computing
Major: Artificial Intelligence
Course Title Remarks Credit Grade Course Title Remarks Credit Grade
****************************************************** ******************************************************
2019-2020 Autumn Physical Chemistry 3.0 82
Education of Legal Security 0.5 89
Comprehensive Experiment of Physical Chemistry
1.0 92
Advanced Mathematics 6.0 78 Experiment of Physics 1.0 82.27
Mechanics 4.0 73
Contemporary Chemistry and Evaluation of the Nobel
Prize
1.0 96
Inorganic Chemistry 3.0 76 Instrumental Analysis A 2.0 84
Experiments of Inorganic Chemistry 1.0 90 Scientific English 3.0 84
Laboratory Safety 1.0 77 Organic Chemistry 3B 3.0 75
College English 1 2.0 79 College English 4 2.0 90
The Introduction of Chinese Traditional Culture
2.0 78 Speech and Eloquence in English 2.0 94
Basis of College Computer Science 0.0 P Physical Culture D 1.0 94
Talking about Human Civilization History
2.0 68 Python Programming and Application 2.5 86
Physical Culture A 1.0 79 Physical Training4 0.0 A
Physical Training1 0.0 D 2021-2022 Autumn
Education of Health 0.5 91
Probability Theory and Mathematic Statistics
3.0 87
Moral Education and Basis of Laws 3.0 79 Discrete Mathematics 4.0 65
Mental Health of college student 1.0 84 Introduction to Computer Systems 2.0 87
2019-2020 Spring
Selected topics in advanced mathematics competition
of college students
2.0 93
Advanced Mathematics 5.0 83 Algorithm Design and Analysis 3.0 88
Electromagnetics Theory 4.0 62 Operating System Principle 3.0 94
Linear Algebra and Application 3.5 69
Computer industry frontier innovation and
Entrepreneurship
1.0 77.5
Inorganic Chemistry 3.0 78 Programming Principles 3.0 90
Experiments of Inorganic Chemistry 1.0 82 2021-2022 Spring
College English 2 2.0 66 Machine Learning 2.0 81
Outline of Modern Chinese History 3.0 88 Data Structure 3.0 91
Physical Culture B 1.0 67 Introduction to cognitive science 2.0 91
Physical Training2 0.0 B programming practice 1.5 94
Military Theory 2.0 94 Introduction to Computer Systems 3.0 93
Mental Health of college student 1.0 88 Knowledge Engineering 2.0 97
2020-2021 Autumn Digital Logic and Digital System 3.0 94
College Physics 3.0 84 Principles of Database 2.0 95
Experiment of Physics 1.0 85.4
Mathematical Foundations of Artificial Intelligence
3.0 88
Experiment of Organic Chemistry 2.5 85 Computer Networks 2.0 80
Analytical Chemistry 2.0 69.5 Art Practice and Performance A2 1.0 95
Experiments in Chemical Analysis 0.5 82 2022-2023 Autumn
Organic Chemistry 3A 3.0 79 Mathematical Model(flip) 3.0 97
Basic Principles of Marxism 3.0 81 Natural Language Processing 2.0 93
College English 3 2.0 82 Data Ming 2.0 92
Physical Culture C 1.0 90
The Comprehensive Practice of Computer System
1.5 90
Physical Training3 0.0 B
Comprehensive practice of machine learning
1.5 92.8
Military Training Course 2.0 95
Comprehensive Practice Course for Knowledge
Engineering
1.5 87.4
2020-2021 Spring Knowledge Graph 1.5 93
Fundamentals of Engineering Drawing
3.5 93 Speech Information Processing 2.0 88
---------------------------Continued in Next Column-------------------- --------------------------Continued in Next Page-------------------------
Office of Academic Affairs(Stamp)
Page 2 of 2
Date Issued 22-April-2023
Student ID: 3019210040 Gender: Male Date of Admission: September, 2019
Name: Jiang Dingyi Length of Schooling: 4 Date of Graduation:
School: Division of Intelligence and Computing
Major: Artificial Intelligence
Course Title Remarks Credit Grade Course Title Remarks Credit Grade
****************************************************** ******************************************************
Neural Networks and Deep Learning 1.5 81.3
Physical Training5 0.0 P
Career Guidance 2.0 92
-------------------------------------------------------------------------------
******************Non-course Milestone******************
Required Credits for Graduation:165.0
Total Credits:161.5
Gpa:3.3(on a 4.0 scale)
*********************End of Transcript*******************
*From 20th June,2019,the format of undergraduate transcript
has been changed, and the old format is valid at the same time.
This is an electronic transcript issued by HKUST with fine prints of the full name of the University as background and an authorized signature. The authenticated electronic transcript is verifiable at the official website (https://registry.hkust.edu.hk/verify) of the University.
Academic Registrar
Name: JIANG, Dingyi 蒋定一
Student ID: 20978162 Date of Birth: 23 Jun 2001
Gender: Male
Page 1 of 1
Date of Issue:
30 June 2023
Issue To: JIANG, Dingyi
Academic Program
Admit Date:
Program:
3 February 2023
Non-degree Undergraduate Exchange Program
Completion Date: 29 May 2023
Academic Records
2022-23 Spring (Full-Time)
Course Code Course Title
Credit
Attempted
Credit
Earned Grade
COMP3111 Software Engineering 4.0 4.0 C+
COMP4332 Big Data Mining and Management 3.0 3.0 C
COMP4901V Large-Scale Deep Perception,
Localization, and Planning for
Autonomous Vehicles
3.0 3.0 C
COMP5214 Advanced Deep Learning
Architectures
3.0 3.0 B+
COMP5421 Computer Vision 3.0 3.0 B
TGA: 2.506
CGA: 2.506
Cumulative Credits Earned: 16.0
- End of Transcript -
GGA (Graduation Grade Average): GGA is the student’s CGA adjusted by
excluding courses from the calculation under established University rules.
MCGA (Major Cumulative Grade Average) is calculated based on the
grade points earned for the courses used to fulfill the major
requirements and the requirements of the corresponding School or
Interdisciplinary Programs Office, where appropriate. For students
admitted in 2018-19 academic year or after, the classification of awards
is based on a two-tier system of MCGA and overall CGA.
Before 2010-11 Spring, SGA (Semester Grade Average) was used:
SGA (Semester Grade Average) is the combined grade average
covering all courses taken in Fall including the following Winter or
Spring including the following Summer.
The following table shows the conversion of 12-point and 4-point
grading system:
12-point System 4-point System
(1991-92 Fall to 2010-11 Winter)
Letter
(effective from 2010-11 Spring)
Course Grade Point Grade Course Grade Point
12 A+ 4.3
11 A 4.0
10 A- 3.7
9 B+ 3.3
8 B 3.0
7 B- 2.7
6 C+ 2.3
5 C 2.0
4 C- 1.7
- D+ -
2 D 1.0
- D- -
0 F 0
EXPLANATORY NOTES
Academic Transcript and Release of Records
The academic transcript provides the full record of a student’s
academic results and performance. This record may not be released to
any other party without the written consent of the student, in
accordance with Personal Data (Privacy) Ordinance established in
1996.
Calendar
The academic year begins on 1 September and ends on 31 August of
the following year. There are four terms in each academic year, namely
Fall, Winter, Spring and Summer. Fall and Spring are regular terms with
thirteen weeks of scheduled classes.
Degree Awarded
The undergraduate programs offered by the University all lead to
honors degrees. The University also offers postgraduate programs
leading to master degrees, doctoral degrees and graduate diplomas.
Credit Unit
Credit units are earned through the completion of courses and other
assessed learning activities. For undergraduate courses, one credit
unit generally represents 40 to 50 learning hours. For postgraduate
courses, one credit is normally designated for one lecture, one tutorial
or three laboratory/field study hours per week.
Grading
Students receive a grade in each course in which they are enrolled.
Transfer credits and courses graded HP/P/LP/U/Y, AU, CR, DI, DN, I,
IP, P, PA, PP, PS ,T and W are omitted from the calculation of grade
point averages.
Letter Grade
Definition for Definition for
Undergraduate Course Postgraduate Course
A+, A, A- Excellent Performance Excellent Performance
B+, B Good Performance Good Performance
B- Good Performance Marginal Performance
1
C+, C Satisfactory Performance Marginal Performance
C- Satisfactory Performance –
D Marginal Pass –
F Failure Failure
O
ther Grade Definition
AU Audited
CR Credit
DI Distinction
DN Distinction
I Incomplete
IP In Progress
2
P Pass, Ungraded
PA Pass, Graded
PP Permitted to Proceed
PS Pass, Graded
T Transferred
W Withdrawal without Penalty
HP/P/LP/U/Y Grade
( used in Executive Programs )
Definition
HP High Pass
P Pass
LP Low Pass
U Unsatisfactory
Y Incomplete
1
Definition revised from ‘Good Performance’ from 1999-2000 Fall
2
Ceased to be used from 1997-98 Fall
Grade Averages
With effect from 2010-11 Spring, the University adopted a 4-point
grading system to replace the 12-point system that had been used
since 1991-92 in the calculation of grade averages. The following grade
averages are calculated:
TGA (Term Grade Average): TGA is calculated across all courses taken
in a term.
CGA (Cumulative Grade Average): CGA is calculated for all the courses
earning grade points completed since first registration in a program up
to the point of calculation.
Further information about the academic transcript is available at
https://registry.hkust.edu.hk/transcript. Please email all queries to the
Academic Registry of the University at artranscript@ust.hk.
The Hong Kong University of Science and Technology issues some official documents in electronic format which are verifiable. The Blockcerts technology is adopted in registering and verifying the electronic documents in the
format of a JSON file.
The JSON file and the associated URL are issued to the graduates/students who may pass them to other parties at their discretion. After successful verification of the JSON file at the University official website
(https://registry.hkust.edu.hk/verify), an authenticated copy of the document can be viewed or downloaded in formats such as PDF or HTML.
